Paper Citation Record · LEDGER

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers

As of 17 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.05122.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.05122 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:52:46.865911Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact1
verified fuzzy0
unresolved14
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a40c516-aac1-4a86-95ad-572cb0ef8976 · outbound

This paper cites an unresolved cited work.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:52:47.452157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04065fde-f505-46cb-83a5-9150313d30c2 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Depth Anything 3: Recovering the Visual Space from Any Views

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.810859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85521962-e50f-47c1-8950-dfbb5cb2fcc1 · outbound

This paper cites an unresolved cited work.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T16:52:47.437472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9c7737c-bcd8-4321-b43f-458171097794 · outbound

This paper cites Are Convolutional Neural Networks or Transformers more like human vision?.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Are Convolutional Neural Networks or Transformers more like human vision?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.835836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd8317dc-2481-4c5b-a592-ccf4b813426b · outbound

This paper cites Interpreting CLIP with Hierarchical Sparse Autoencoders.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Interpreting CLIP with Hierarchical Sparse Autoencoders

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.845569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20158d27-c7e1-46de-bdff-3ff461f1de4a · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.850409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e096480-7e29-4229-a53f-6b7783d9df2d · outbound

This paper cites Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Prisma: An Open Source Toolkit for Mechanistic Interpretability in Vision and Video

Reference 1962

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.805866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84488fb5-a4ae-40ea-88b5-1e02049e4c98 · outbound

This paper cites 13-12-05251.1993.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers 13-12-05251.1993

Reference 1993

Resolution: malformed identifier; no resolver link, observed 2026-08-08T16:52:46.790987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a1e911f-e12e-4a6c-96dc-5e3460a6cefb · outbound

This paper cites Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.840625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0597beb7-8b25-48d6-ba9d-a62b916dbd9c · outbound

This paper cites Martin Schrimpf, Jonas Kubilius, Ha Hong, Najib J.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Martin Schrimpf, Jonas Kubilius, Ha Hong, Najib J

Reference 2002

Resolution: malformed identifier; no resolver link, observed 2026-08-08T16:52:46.826285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4eded96-f820-442d-8f91-dcb910405b0a · outbound

This paper cites Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.800834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7d88c1e-59d3-451e-a3f6-469be6b8731d · outbound

This paper cites Oriane Sim´ eoni, Huy V.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Oriane Sim´ eoni, Huy V

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.830708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2abe4aed-9bca-4e1e-ad08-79baaffc6eb9 · outbound

This paper cites oblique effect.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers oblique effect

Reference 2019

Resolution: verified exact; raw_fallback, observed 2026-08-08T16:52:47.058965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2102290c-13d0-4391-a8e8-556bd4603a9d · outbound

This paper cites Steering CLIP's vision transformer with sparse autoencoders.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Steering CLIP's vision transformer with sparse autoencoders

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.815838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 990db2c9-29a4-46eb-863d-1246cc6c99fe · outbound

This paper cites Horace B.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Horace B

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.785586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 859862cf-af58-4ea8-b5fb-60ff30f7729b · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.795610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21cb9c76-161e-4b03-a36a-77963b44bede · outbound

This paper cites Disentangling the Factors of Convergence between Brains and Computer Vision Models.

IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers Disentangling the Factors of Convergence between Brains and Computer Vision Models

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-08T16:52:46.821185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.